AI Engineer - NLP (Machine Learning, LLMs, API)

Bachelor's or Master’s degree in Data science, Computer Science or a related field.2+ years of hands-on experience developing and deploying machine learning models in production.Applied experience working with LLMs, generative AI, or NLP frameworks (e.g., Hugging Face Transformers, LangChain, OpenAI API).Experience in fine-tuning and adapting pre-trained models for specific tasks.Experience with agentic workflows (tool/function calling, planner-executor patterns, memory, guardrails).Familiarity with serving LLM models such as vLLM, SGLang, or TensorRT.Solid understanding of AI agent-based systems and deep expertise in RAG architecture with hands-on experience optimizing retrieval pipelines, indexing strategies, embedding quality, latency, and overall system performance for production-scale applications.Proficiency in using observability and evaluation tools (e.g., Langfuse, Opik) to trace, log, and improve performanceAbility to build robust APIs/services using FastAPI/Flask, and optimize inference performance.Nice to Have:MLOps experience: MLflow/W&B, Docker, Kubernetes, CI/CD, model registry, monitoring.Hands-on experience with Vision-Language Models (VLMs) and multimodal embeddings (e.g., image-text retrieval, grounding, VQA).Familiarity with multimodal systems, speech and language translation (ASR,S2ST), graph algorithms, or reinforcement learning.Contributions to open-source NLP/AI projects or research publications.